Claude Fable 5 is the strongest alternative to Qwen 3.8 Flash — it scores 99 vs 86 on long-context work at $10/1M input (Qwen 3.8 Flash costs $0.16/1M). DeepSeek V4-Flash is the budget swap: $0.14/1M input is 12% cheaper. Kimi K3 is the top open-weight option if you want a model you can self-host.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Claude Fable 5 is the safest overall answer here when you want the strongest default instead of the lowest list price.
Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.
Qwen 3.8 Flash is the better pick when response speed matters more than maximum reasoning depth.
Claude Fable 5 beats Qwen 3.8 Flash on long-context work (99 vs 86) at $10/1M input tokens.
DeepSeek V4-Flash cuts input cost by 12% ($0.14 vs $0.16/1M) while scoring 87/100 on long-context work.
Kimi K3 is open-weight — self-host it or run it via low-cost API providers at $3/1M input.
Choose Claude Fable 5 when you want the closest overall replacement — it targets the hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning.
Choose DeepSeek V4-Flash when token volume matters more than peak quality — it is 12% cheaper on input.
Staying with Alibaba? Qwen 3.8 Max is the strongest in-house switch at $2/1M input.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Anthropic / Premium / Jun 9, 2026
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.
The fastest way to see where the recommendation shifts when your priority changes.
SWE-bench Pro 62.5 at sixteen cents per million input.
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Best agentic capability per dollar in the directory.
Closest Chinese challenger to the frontier — #4 overall on intelligence.
Best Chinese flagship — beats GPT-5.6 Sol on coding, #2 globally for vision.
Best for research and deep document analysis — 2M context at the best premium price.
Every figure below is the provider's list price or a published capability score — the same numbers the recommendation on this page is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Claude Fable 5Anthropic | $10.00/1M | $50.00/1M | $200 | 1M tokens | Deliberate | 100 | 98 | 100 |
| Qwen 3.8 FlashAlibaba | $0.16/1M | $0.47/1M | $2.54 | 991k tokens | Very fast | 84 | 76 | 78 |
| DeepSeek V4-FlashDeepSeek | $0.14/1M | $0.28/1M | $1.96 | 1M tokens | Fast | 87 | 74 | 78 |
| Kimi K3Moonshot | $3.00/1M | $15.00/1M | $60 | 1M tokens | Deliberate | 96 | 90 | 93 |
Capability scores are out of 100 and reflect our own weighting of published benchmarks and production signals — see how we evaluate models. “Est. month” assumes 10M input and 2M output tokens at list price, with no batch or caching discounts applied, so treat it as a ceiling.
What each one is genuinely good at, where it falls down, and the situations we would steer you away from it — not just the headline score.
Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.
You are latency- or cost-sensitive, or your tasks don't need frontier-level reasoning — Opus 4.8 at half the price is plenty.
The strongest coding and reasoning model you can actually use today. 80.3% SWE-Bench Pro is an 11-point leap over Opus 4.8 — the biggest single-release jump of 2026. It costs 2× Opus 4.8, so use it for the hardest agentic and engineering work and keep Opus 4.8 or Sonnet for everyday volume.
Launched June 9, 2026 as the public, Mythos-class release. Available on the Claude API, Microsoft Foundry, and Google Vertex AI. Free for all users until June 22, 2026. Same underlying model as Claude Mythos 5, with safeguards that block specific high-risk cyber responses.
Alibaba's preview of the Qwen4 architecture — 125B parameters with only 6B active per token, at sixteen cents per million input.
You need Alibaba's maximum capability — that is Qwen 3.8 Max — or a SWE-bench Verified number.
One of the best coding-score-per-dollar picks in the catalog. Route volume work here and reserve Qwen 3.8 Max or a frontier model for the hard cases.
Released August 26, 2026. The open-weight release is Qwen3.8-Flash-Next, a preview of the Qwen4 architecture: 125B mixture-of-experts with 6B active per token, a 51B n-gram embedding table and a 4B multi-token prediction layer. Qwen 3.8 Flash is the production API version on Qwen Cloud at $0.16/$0.47.
A 284B-parameter (13B active) MoE workhorse re-post-trained for agentic and coding tasks — beats the V4-Pro preview on every published agent benchmark at ultra-commodity pricing.
You need vision input or frontier-grade reasoning on the hardest tasks.
The best cheap agent engine of 2026. At $0.14/1M input with an 82.7 Terminal-Bench score, nothing touches its agentic capability per dollar. Use it for volume; escalate the hard 10% to a frontier model.
Official V4-Flash-0731 release July 31, 2026; weights on Hugging Face, API in public beta. Only DeepSeek model supporting the Responses API. DeepSeek has warned of a future price increase.
Moonshot's 2.8-trillion-parameter multimodal reasoning flagship with always-on thinking — the largest open-weight model ever released and the closest Chinese challenger to the Western frontier.
You need fast responses or predictable output costs — always-on thinking burns tokens.
The first Chinese model to genuinely crowd the Western frontier — #4 on aggregate intelligence ahead of Opus 4.8. The always-on thinking makes it slow and output-heavy, so cost per task runs above the sticker price. A serious Opus-class alternative if latency isn't critical.
Released July 16, 2026; open weights July 26. Cache-hit input $0.30/1M. Subscriptions: Adagio (free) to Vivace $199/mo; full 1M context only on Allegro ($99) and up. New signups paused July 19 near GPU capacity, reopening in batches.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
Newsletter
Useful if you care about ranking shifts, pricing changes, or a better recommendation appearing in this decision path.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
Claude Fable 5 is the strongest overall alternative. It scores 99/100 on long-context work (Qwen 3.8 Flash: 86/100) and costs $10/1M input vs $0.16/1M. New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
DeepSeek V4-Flash at $0.14/1M input — 12% cheaper than Qwen 3.8 Flash's $0.16/1M. It scores 87/100 on long-context work, so expect a quality step down on the hardest tasks.
Yes — Kimi K3 is the strongest open-weight replacement for Qwen 3.8 Flash, scoring 93/100 on long-context work against Qwen 3.8 Flash's 86/100. You can self-host it or run it through hosted APIs at $3/1M input (Qwen 3.8 Flash costs $0.16/1M), with no per-seat subscription. Self-hosting trades the licence saving for infrastructure you have to run, so it pays off at sustained volume rather than for occasional use.
Qwen 3.8 Max — same provider, same API surface, $2/1M input vs $0.16/1M. Best Chinese flagship — beats GPT-5.6 Sol on coding, #2 globally for vision.
One of the best coding-score-per-dollar picks in the catalog.